What artifacts does the analyze-codebase skill create?

It can generate architecture maps, Architectural Decision Records (ADRs), component-specific rules in .claude/rules/, and audit reports for CLAUDE.md.

Does this skill modify my code automatically?

No, it follows a strict read-only-until-approval policy. It analyzes and presents findings, only writing files to your project after you explicitly confirm each artifact.

Can I use this for very large monorepos?

Yes, it features size awareness. It starts with a 'Quick Pass' and allows for progressive, targeted deep analysis on specific modules to avoid context window limitations.

How does it handle team conventions stored in Google Drive?

The skill can connect via MCP to your Google Drive, search for convention documents, and produce a delta report comparing your codebase against those team standards.

Codebase Architecture & Artifact Analyzer

Name: Codebase Architecture & Artifact Analyzer
Author: codingthefuturewithai

bycodingthefuturewithai

0•

Learning & Documentation

Analyzes existing codebases to generate structured architecture documentation, architectural decision records, and component-specific rules.

This skill provides a systematic approach to understanding and documenting brownfield or inherited codebases by producing high-quality artifacts like architecture maps, ADR candidates, and convention comparisons. It enables teams to bridge the gap between undocumented legacy code and standardized development practices by auditing existing CLAUDE.md files and establishing component-level rules that guide AI assistants in maintaining consistency. By performing a multi-phase analysis—from a high-level quick pass to deep architectural mapping—it ensures that developers have a clear, documented foundation for any project size or language.

Key Features

010 GitHub stars

02Automated architecture mapping and documentation generation

03Component-specific rule generation for precise AI guidance

04Extraction and documentation of Architectural Decision Records (ADRs)

05Codebase-to-team convention delta reporting and comparison

06CLAUDE.md audits and optimization for AI-assisted development

Use Cases

01Standardizing architectural documentation and ADRs across multiple repositories

02Comparing local implementation patterns against company-wide standards stored in Google Drive

03Onboarding a developer to a complex, undocumented legacy codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives analyze-codebase

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Automated architecture mapping and documentation generation

03Component-specific rule generation for precise AI guidance

04Extraction and documentation of Architectural Decision Records (ADRs)

05Codebase-to-team convention delta reporting and comparison

06CLAUDE.md audits and optimization for AI-assisted development

Use Cases

01Standardizing architectural documentation and ADRs across multiple repositories

02Comparing local implementation patterns against company-wide standards stored in Google Drive

03Onboarding a developer to a complex, undocumented legacy codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add codingthefuturewithai/claude-code-primitives analyze-codebase

For use in Claude.ai and ChatGPT